[29-58-am] Clinical Pharmacy 33, TDM

[29-58-am-06S] Comparative evaluation of eleven machine learning-based risk prediction models for vancomycin-associated acute kidney injury during initial dosing

○Moeko Iida^1,2, Yasuhiro Horita^1,2,3, Masato Noda^1,4, Masaya Nagamizu^1,5, Yoshinori Hisada^1,6, Kaori Tsuzuki⁴, Kazuki Ohashi^2,3, Tomoaki Hayakawa^1,2,3, Taketo Miyamoto¹, Minami Asaoka^1,5, Masaharu Kudo⁷, Yumiko Sato⁵, Yuji Hotta^1,2, Masahiro Kondo^1,4, Atsushi Nakamura³, Yoko Furukawa-Hibi^1,2 (1. Grad. Sch. Med. Sci., Nagoya City Univ., 2. Dep. Pharm., Nagoya City Univ. Hosp., 3. Div. Infect., Nagoya City Univ. Hosp., 4. Dep. Pharm., Nagoya City Univ. EMC., 5. Dep. Pharm., Nagoya City Univ. WMC., 6. Dep. Pharm., Nagoya City Univ. Mirai. Hosp., 7. Dep. Pharm., Nagoya City Univ. Midori. Hosp.)

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